#undersampling

Balancing techniques for unbalanced datasets in Python & R

Data Samplingin data science is an important aspect for any statistical analysis project which is used to select, manipulate and analyze a representative subset of data points called samples in order to identify patterns and trends in the larger data set usually termed as population being examined. Lets say we are conducting a survey in the United States, and we collected data from 1000 samples.…